Digital Signal Processing
Digital Signal ProcessingMarkus KuhnComputer 2009 Part IISignals flow of information measured quantity that varies with time (or position) electrical Signal received from a transducer(microphone, thermometer, accelerometer, antenna, etc.) electrical Signal that controls a processContinuous-time signals:voltage, current, temperature, speed, . . .Discrete-time signals:daily minimum/maximum temperature,lap intervals in races, sampled continuous signals, . . .Electronics (unlike optics) can only deal easily with time-dependent signals, therefore spatialsignals, such as images, are typically first converted into a time Signal with ascanning process(TV, fax, etc.).2Signal processingSignals may have to be transformed in order to amplify or filter out embedded information detect patterns prepare the Signal to survive a transmission channel prevent interference with other signals sharing a medium undo distortions contributed by a transmission channel compensate for sensor deficiencies find information encoded in
Digital signal processing Analog/digital and digital/analog converter, CPU, DSP, ASIC, FPGA. Advantages: → noise is easy to control after initial quantization → highly linear (within limited dynamic range) → complex algorithms fit into a single chip → flexibility, parameters can easily be varied in software → digital processing is insensitive to component tolerances, aging,
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